Supervised ensembles of prediction methods for subcellular localization

Johannes Assfalg, Jing Gong, Hans Peter Kriegel, Alexey Pryakhin, Tiandi Wei, Arthur Zimek*

*Corresponding author for this work

Research output: Contribution to journalConference articleResearchpeer-review

Abstract

In the past decade, many automated prediction methods for the subcellular localization of proteins have been proposed, utilizing a wide range of principles and learning approaches. Based on an experimental evaluation of different methods and their theoretical properties, we propose to combine a well-balanced set of existing approaches to new, ensemble-based prediction methods. The experimental evaluation shows that our ensembles improve substantially over the underlying base methods.

Original languageEnglish
JournalJournal of Bioinformatics and Computational Biology
Volume7
Issue number2
Pages (from-to)269-285
ISSN0219-7200
DOIs
Publication statusPublished - 11. May 2009
Externally publishedYes
Event6th Asia-Pacific Bioinformatics Conference - Kyoto, Japan
Duration: 14. Jan 200817. Jan 2008

Conference

Conference6th Asia-Pacific Bioinformatics Conference
Country/TerritoryJapan
CityKyoto
Period14/01/200817/01/2008

Keywords

  • Ensemble classifier
  • Subcellular localization of proteins

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